Dr. sc. ing. Kaspars Ozols

Dr. Kaspars Ozols is a deputy director of development, a Member of the scientific council as well as a senior researcher in the Institute of Electronics and Computer Science (EDI) where he leads teams of engineers and researchers. He holds a Ph.D. in Electronics from Riga Technical University. He has been involved in various international projects related to the development of novel data acquisition, transmission and signal processing methods and devices for different applications in the fields of transport, health, manufacturing, etc., including participation in 15+ European joint research projects (in  Horizon Europe, Horizon 2020, KDT, ECSEL, ARTEMIS, ERA-NET, EIT and COST programs). Expertise in ICT system simulation, modelling, design, development, implementation, testing and validation. Author of 25+ peer-reviewed scientific articles. Research interests include Self-Driving/Autonomous cars, Cyber-Physical Systems, Signal Processing, Wireless Communications, Wireless Sensor Networks, Internet of Things, Embedded and Low Power solutions, Artificial intelligence, robotics, digitization of industry, etc. He is also very active in international project proposal preparation both as a partner and a coordinator. Has written, submitted, and got funding for more than 20 different projects (mostly from the above-mentioned programs). Supervisor of 10+ engineerings, bachelor, and master theses as well as 3 Ph.D. theses. Mentor for 10+ start-ups. 1st place in the ResearchSlam competition. Latvian Academy of Sciences (LAS) award recipient for one of the most significant achievements in Latvian science in 2018

Recent projects

• Dependable Embedded Wireless Infrastructure (DEWI)
• Integrated Components for Complexity Control in Affordable Electrified Cars (3Ccar) #H2020
• Advancing fail-aware, fail-safe, and fail-operational electronic components, systems, and architectures for highly and fully automated driving to make future mobility safer, more efficient, affordable, and end-user acceptable (AUTODRIVE) #H2020
• Frictionless Energy Efficient Convergent Wearables For Healthcare and Lifestyle Applications (CONVERGENCE) #Chist-era / Flag-era
• Intelligent Motion Control Platform for Smart Mechatronic Systems (I-MECH) #H2020
• Programmable Systems for Intelligence in Automobiles (PRYSTINE) #H2020
• Digital Technologies, Advanced Robotics and increased Cyber-security for Agile Production in Future European Manufacturing Ecosystems (TRINITY) #H2020
• Advanced packaging for photonics, optics and electronics for low cost manufacturing in Europe (APPLAUSE) #H2020
• DIH-World – Accelerating deployment and matureness of DIHs for the benefit of Digitisation of European SMEs #H2020
• Industrial inertial wireless sensor (IIWS) part 2 #H2020
• Automotive Intelligence for/at Connected Shared Mobility (AI4CSM) #H2020
• Develop & deploy – incubator programme for mobility innovations (D&D) #H2020
• Digitalization of Power Electronic Applications within Key Technology Value Chains (PowerizeD) #Horizon Europe
• One Step Open DBL solution (openDBL) #Horizon Europe

Recent publications

• Martin Čech, Arend-Jan Beltman , Kaspars Ozols. I-MECH – Smart System Integration for Mechatronic Applications. Published in: 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) 
• Shavelis, R., Ozols, K. (2020) Bluetooth Low Energy Wireless Sensor Network Library in MATLAB Simulink. Journal of Sensor and Actuator Network, 9 (3), 38. doi: 10.3390/jsan9030038
• Novickis, R., Levinskis, A., Kadiķis, R., Feščenko. V., Ozols, K. (2020). Functional architecture for autonomous driving and its implementation. 17th Biennial Baltic Electronics Conference (BEC2020), Tallinn, Estonia.
• Justs, D., Novickis, R., Ozols, K., Greitāns M. (2020). Bird's-eye view image acquisition from simulated scenes using geometric inverse perspective mapping. 17th Biennial Baltic Electronics Conference (BEC2020), Tallinn, Estonia.
• Druml, N., Debaillie, B., Anghel, A., Ristea, N. C. (2020). Programmable Systems for Intelligence in Automobiles (PRYSTINE): Technical Progress after Year 2, 2020 23rd Euromicro Conference on Digital System Design (DSD). doi: 10.1109/DSD51259.2020.00065
• R.Novickis, D.J. Justs, K.Ozols and M.Greitāns "An Approach of Feed-Forward Neural Network Throughput-Optimized Implementation in FPGA", Electronics journal: Special Issue Advanced AI Hardware Designs Based on FPGAs, 2020
• Niklāvs Barkovskis, Kaspars Ozols, Atis Elsts. "Survey of Low-Power Wireless Network Technologies for the Internet of Things" Automatic Control and Computer Sciences, Volume 55, Issue 2, Pages 177 - 194, March 2021. DOI: 10.3103/S0146411621020024
• Arents, Janis, Valters Abolins, Janis Judvaitis, Oskars Vismanis, Aly Oraby, and Kaspars Ozols. 2021. "Human–Robot Collaboration Trends and Safety Aspects: A Systematic Review" Journal of Sensor and Actuator Networks 10, no. 3: 48. https://doi.org/10.3390/jsan10030048
• Maksims Ivanovs, Roberts Kadiķis, Kaspars Ozols. 2021. “Perturbation-based methods for explaining deep neural networks: A survey” Elsevier B.V., https://doi.org/10.1016/j.patrec.2021.06.030
• Čech Martin, Arend-Jan Beltman, and Kaspars Ozols. 2021. "Pushing Mechatronic Applications to the Limits via Smart Motion Control" Applied Sciences 11, no. 18: 8337. https://doi.org/10.3390/app11188337
• Norbert Druml; Anna Ryabokon; Rupert Schorn; Jochen Koszescha; Kaspars Ozols; Aleksandrs Levinskis; Rihards Novickis; "Programmable Systems for Intelligence in Automobiles (PRYSTINE): Final results after Year 3"; 2021 24th Euromicro Conference on Digital System Design (DSD); 1-3 Sept. 2021; DOI: 10.1109/DSD53832.2021.00049
• Rihards Novickis, Aleksandrs Levinskis, Vitalijs Fescenko, Roberts Kadikis, Kaspars Ozols, Anna Ryabokon, Rupert Schorn, Jochen Koszescha, Selim Solmaz, Georg Stettinger, Akwasi Adu-Kyere, Lauri Halla-aho, Ethiopia Nigussie, Jouni Isoaho. "Development and Experimental Validation of High Performance Embedded Intelligence and Fail-Operational Urban Surround Perception Solutions of the PRYSTINE Project", Appl. Sci. 2022, 12(1), 168;
• Sudars, Kaspars, Ivars Namatēvs, and Kaspars Ozols. 2022. "Improving Performance of the PRYSTINE Traffic Sign Classification by Using a Perturbation-Based Explainability Approach" Journal of Imaging 8, no. 2: 30. https://doi.org/10.3390/jimaging8020030
• Ivanovs, Maksims, Kaspars Ozols, Artis Dobrajs, and Roberts Kadikis. 2022. "Improving Semantic Segmentation of Urban Scenes for Self-Driving Cars with Synthetic Images" Sensors 22, no. 6: 2252. https://doi.org/10.3390/s22062252
• Martin Cech, Ared-Jan Beltman, Kaspars Ozols. Digital Twins and AI in Smart Motion Control Applications
• Laura Leja, Vitālijs Purlans, Rihards Novickis, Andrejs Cvetkovs, Kaspars Ozols. Mathematical Model and Synthetic Data Generation for Infra-Red Sensors
• Edgars Lielāmurs, Andrejs Cvetkovs, Rihards Novickis, Kaspars Ozols, 2023. Infrared Image Pre-Processing and IR/RGB Registration with FPGA Implementation. Electronics, 12(4), 4, MDPI.